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Colorado State University
  • Home
  • Welcome & About
    • About CIRA
      • Jobs
      • Letter from Christian Kummerow:
      • Map & Directions
      • Organizational Structure
      • Reports
      • Room Schedules
      • Staff Directory
      • Strategic Plan
      • Vision & Mission Statement
    • Themes
      • Climate and Weather Processes
      • Competitive Projects
      • Data Assimilation
      • Data Distributions
      • Education and Outreach
      • Modeling Systems Research
      • NOAA Projects
      • Satellite Algorithm Development, Training and Education
      • Societal and Economic Impact Studies
    • Collaborative Groups
      • Colorado Climate Center
      • National Park Service
      • Regional and Mesoscale Meteorology Branch
  • Teams
    • Colorado Teams:
      • NOAA/Earth System Research Lab (ESRL) – Boulder, CO
      • Air Quality – Fort Collins, CO
      • Atmospheric Science (ATS) – Fort Collins, CO
      • Carbon – Fort Collins, CO
      • CIRA Software Engineering Group (CSEG) – Fort Collins, CO
      • Data Assimilation (DA) – Fort Collins, CO
      • Data Processing Centers (DPC) – Fort Collins, CO
      • Independent – Fort Collins, CO
      • MetSat – Fort Collins, CO
      • Regional and Mesoscale Meteorology Branch (RAMMB) – Fort Collins, CO
      • Training – Fort Collins, CO
      • Tropical Cyclone – Fort Collins, CO
    • Other Location Teams:
      • National Hurricane Center – Miami, FL
      • NESDIS Environmental Applications Team (NEAT) – College Park, MD
      • NWS/Meteorological Development Laboratory (MDL) – Silver Spring, MD
      • NWS/Aviation Weather Center (AWC) – Kansas City, MO
      • Office of Marine and Aviation Operations (OMAO-Training) – Kansas City, MO
  • News & Events
    • News
      • CIRA Administration News
      • Magazines
      • Reports
    • Events
      • Conferences
      • Seminars
  • Research & Publications
  • Imagery & Data
    • Imagery
      • Air Quality Research
        • Improve
        • VIEWS
      • CIRA Algorithm Testbed
      • CIRA Weather Station
      • RAMMB SLIDER
    • Data
      • CloudSat Data Processing Center
      • ECMWF Nature Run
      • RAMSDIS Online
        • GOES-West / GOES-East
        • Synthetic Forecast Imagery
        • Tropical Imagery
        • Suomi NPP VIIRS Imagery
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2021-04-20 20:25 31.1 56.1 17.3 3.2 5 4.1 12 0.000 0.0 0.00
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2021-04-20 19:55 32.1 51.0 16.1 2.0 118 3.8 139 0.000 0.0 0.00
2021-04-20 19:50 32.3 54.4 17.7 3.1 150 5.0 136 0.000 0.0 0.00
2021-04-20 19:45 32.4 52.3 16.8 2.5 207 3.5 183 0.000 0.0 0.00
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2021-04-20 19:35 32.3 52.9 17.0 2.3 163 3.9 99 0.000 0.0 0.00
2021-04-20 19:30 32.2 52.1 16.6 1.6 99 2.9 99 0.000 0.0 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

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A numerical framework for operational coupled fire-atmosphere-fuel moisture-smoke forecasting

October 25, 2018 11:00 am
CIRA Directors Conference Room

Presented by: CIRA

Hosted by: Jan Mandel, University of Colorado Denver (presenting) Adam Kochanski, University of Utah Sher Schranz, CIRA Martin Vejmelka, AVAST


We present an integrated wildland fire model WRF-SFIRE, based on combining a high resolution, multi-scale weather forecasting model WRF, with a semi-empirical fire spread model, a prognostic dead fuel moisture model, and smoke dispersion. Fire-released heat and moisture impact local meteorology. The fuel moisture model is driven by the atmospheric component of the system in order to render the diurnal and spatial fuel moisture variability. The dead fuel moisture is traced in three different fuel classes (1h, 10h and 100h fuel), which are combined to provide the total dead fuel moisture content at the fire model resolution (tens of meters) using fuel properties at the location. The wind and the fuel moisture in turn impact the fire rate of spread. The sub-kilometer model resolution enables detailed representation of complex terrain, and small-scale variability in surface properties. Ingest of infrared fire perimeters is supported by an interpolation of the fire arrival time between the perimeter and a previous one to spin up the atmosphere model.

The fire simulations are run in online system WRFx. The simulations are initialized by a web-based control system allowing a user to define a fire as well as basic simulation properties such as simulation length, type of meteorological forcing and resolution, anywhere in CONUS and any time meteorological products are available to initialize the weather model. The data is downloaded automatically, and the system monitors execution on a cluster. The simulation results are processed while the model is running and displayed as animations on a web visualization portal.

The portal also provides nationwide nowcasting of fuel moisture, based on the fuel moisture model with assimilation of surface observations of the fuel moisture from RAWS stations.

Cooperative Institute for Research in the Atmosphere
Colorado State University
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Fort Collins, CO 80521

Phone: 970.491.8448
Fax: 970.491.8241

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